Induction motor controller using fuzzy logic

• Main Author: Gorep, Nor Aizila
• Format: Thesis
• Language: English; English; English
• Published: 2013
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
• Online Access: http://eprints.uthm.edu.my/2005/1/24p%20NOR%20AIZILA%20GOREP.pdf; http://eprints.uthm.edu.my/2005/2/NOR%20AIZILA%20GOREP%20COPYRIGHT%20DECLARATION.pdf; http://eprints.uthm.edu.my/2005/3/NOR%20AIZILA%20GOREP%20WATERMARK.pdf; http://eprints.uthm.edu.my/2005/

Induction Motor is widely used in general industry applications focusing on production area. Induction motor speed control is becoming very important due to increase the profit to the industries with increase efficiency, reliability and performance of induction motor. Due to the problem facing in induction motor that require complex mathematical model and varying parameters, Fuzzy Logic Controller (FLC) is applied to overcome this problem. The FLC based on the concepts of an artificial intelligence and attractive alternatives method to tackle the problem of controller design for complex mathematical model of system. This project used FLC Sugeno types. The purpose used FLC is to control speed and increase the efficiency of IM. While, the conventional controller only works well for linear system and their performances will decrease for nonlinear system. To make an induction motor operates such as Direct Current (DC) motor, Field Oriented Control (FOC) drives is applied for Induction Motor drive. FOC also offering a fast dynamic response and a high precision ability for IM drive. This project is implemented using Simulink Matlab. Based on the test results show the response of the speed curve takes less time to settle and reach the desired value.